White Matter Integrity of Right Frontostriatal Circuit Predicts Internet Addiction Severity Among Internet Gamers

Overview

Journal Addict Biol

Specialty Psychiatry

Date 2024 May 7

PMID 38711213

Authors

Hui Zhou

Liangyu Gong

Conghui Su

Binyu Teng

Wan Xi

Xiumei Li

Fengji Geng

Yuzheng Hu

Affiliations

Soon will be listed here.

Abstract

Excessive use of the internet, which is a typical scenario of self-control failure, could lead to potential consequences such as anxiety, depression, and diminished academic performance. However, the underlying neuropsychological mechanisms remain poorly understood. This study aims to investigate the structural basis of self-control and internet addiction. In a cohort of 96 internet gamers, we examined the relationships among grey matter volume and white matter integrity within the frontostriatal circuits and internet addiction severity, as well as self-control measures. The results showed a significant and negative correlation between dACC grey matter volume and internet addiction severity (p < 0.001), but not with self-control. Subsequent tractography from the dACC to the bilateral ventral striatum (VS) was conducted. The fractional anisotropy (FA) and radial diffusivity of dACC-right VS pathway was negatively (p = 0.011) and positively (p = 0.020) correlated with internet addiction severity, respectively, and the FA was also positively correlated with self-control (p = 0.036). These associations were not observed for the dACC-left VS pathway. Further mediation analysis demonstrated a significant complete mediation effect of self-control on the relationship between FA of the dACC-right VS pathway and internet addiction severity. Our findings suggest that the dACC-right VS pathway is a critical neural substrate for both internet addiction and self-control. Deficits in this pathway may lead to impaired self-regulation over internet usage, exacerbating the severity of internet addiction.

Citing Articles

White matter integrity of right frontostriatal circuit predicts internet addiction severity among internet gamers.

Zhou H, Gong L, Su C, Teng B, Xi W, Li X Addict Biol. 2024; 29(5):e13399.

PMID: 38711213 PMC: 11074389. DOI: 10.1111/adb.13399.

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